University of Melbourne and Fourier Intelligence Joint Laboratory, Department of Mechanical Engineering, The University of Melbourne, Melbourne, Australia.
Allied Health, The Royal Melbourne Hospital, Melbourne, Australia.
Disabil Rehabil Assist Technol. 2022 Jul;17(5):531-538. doi: 10.1080/17483107.2020.1785567. Epub 2020 Jul 1.
Despite their promise to increase therapy intensity in neurorehabilitation, robotic devices have not yet seen mainstream adoption. Whilst there are a number of contributing factors, it is obvious that the treating clinician should have a clear understanding of the objectives and limitations of robotic device use. This study sought to explore how devices can be developed to support a clinician in providing clinical best practice.
A user-centred design study of a robotic device was conducted, involving build-then-use iterations, where successive iterations are built based on feedback from the use cycle. This work reports results of an analysis of qualitative and quantitative data describing the use of the robotic device in the clinical sessions, and from a focus group with the treating clinicians.
The data indicated that use of the device did not result in patient goal-setting and may have resulted in poor movement quality. Therapists expected a higher level of autonomy from the robotic device, and this may have contributed to the above problems. These problems can and should be addressed through modification of both the study design and device to provide more explicit instructions to promote clinical best practice.IMPLICATIONS FOR REHABILITATIONEncouraging clinical best practice when using evaluating prototype devices within a clinical setting is important to ensure that best practice is maintained - and can be achieved through both study and device designSupport from device developers can significantly improve the confidence of therapists during the use of that device in rehabilitation, particularly with new or prototype devicesEnd effector-based robotic devices for rehabilitation show potential for a wide variety of patient presentations and capabilities.
尽管机器人设备有望提高神经康复治疗的强度,但尚未得到广泛应用。虽然有许多因素促成了这一情况,但显然治疗医生应该清楚地了解使用机器人设备的目标和限制。本研究旨在探讨如何开发设备以支持医生提供临床最佳实践。
对一种机器人设备进行了以用户为中心的设计研究,涉及构建后使用的迭代,其中连续的迭代是根据使用周期的反馈构建的。本工作报告了对描述机器人设备在临床会话中使用的定性和定量数据进行分析的结果,以及对治疗医生进行的焦点小组讨论的结果。
数据表明,该设备的使用并未导致患者设定目标,并且可能导致运动质量较差。治疗师期望机器人设备具有更高的自主性,这可能导致了上述问题。通过修改研究设计和设备以提供更明确的说明来促进临床最佳实践,可以解决这些问题。
在临床环境中使用评估原型设备时鼓励临床最佳实践对于确保维持最佳实践非常重要-并且可以通过研究和设备设计来实现;设备开发人员的支持可以显著提高治疗师在康复中使用该设备的信心,特别是对于新设备或原型设备;基于末端执行器的康复机器人设备具有广泛的患者表现和能力的潜力。